Work

Improved Conditional Generative Adversarial Network-based Approach for Extreme Scenario Generation in Renewable Energy Sources

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Civil Aviation Safety and Information Technology (ICCASIT)

DOI: 10.1109/iccasit62299.2024.10828026

Author: Zexiang Li

Institution: China Three Gorges University

Language: English

Topic: Solar Radiation and Photovoltaics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4406356020

FWCI: 0.589

Cites: 4

Cited by: 2

Related to: 10